classification of small Magellanic cloud Using Gaussian mixture model

Abstract

In this paper we suggesting classified the small Magellan cloud by a method of supervised classification. Supervised classification relies on the prior knowledge of the location and identity of land cover types that are in the image. This can be achieved through field our work, study of Astronomical image "Small Magellan cloud". In this paper was devoted to classify the image by using a method of supervised classification and analysis. Which is, named supervised classifier, based on Gaussian mixture model which is often used in probability classification problems to model such distributions. The experiment demonstrate that the proposed method can get a better classification result and less affected by the noise.